Addresses #17353
Problem: Codex rate-limit fetching failed when the backend returned the
new `prolite` subscription plan type.
Solution: Add `prolite` to the backend/account/auth plan mappings, keep
unknown WHAM plan values decodable, and regenerate app-server plan
schemas.
## Summary
- reduce public module visibility across Rust crates, preferring private
or crate-private modules with explicit crate-root public exports
- update external call sites and tests to use the intended public crate
APIs instead of reaching through module trees
- add the module visibility guideline to AGENTS.md
## Validation
- `cargo check --workspace --all-targets --message-format=short` passed
before the final fix/format pass
- `just fix` completed successfully
- `just fmt` completed successfully
- `git diff --check` passed
## Why
Bazel clippy now catches lints that `cargo clippy` can still miss when a
crate under `codex-rs` forgets to opt into workspace lints. The concrete
example here was `codex-rs/app-server/tests/common/Cargo.toml`: Bazel
flagged a clippy violation in `models_cache.rs`, but Cargo did not
because that crate inherited workspace package metadata without
declaring `[lints] workspace = true`.
We already mirror the workspace clippy deny list into Bazel after
[#15955](https://github.com/openai/codex/pull/15955), so we also need a
repo-side check that keeps every `codex-rs` manifest opted into the same
workspace settings.
## What changed
- add `.github/scripts/verify_cargo_workspace_manifests.py`, which
parses every `codex-rs/**/Cargo.toml` with `tomllib` and verifies:
- `version.workspace = true`
- `edition.workspace = true`
- `license.workspace = true`
- `[lints] workspace = true`
- top-level crate names follow the `codex-*` / `codex-utils-*`
conventions, with explicit exceptions for `windows-sandbox-rs` and
`utils/path-utils`
- run that script in `.github/workflows/ci.yml`
- update the current outlier manifests so the check is enforceable
immediately
- fix the newly exposed clippy violations in the affected crates
(`app-server/tests/common`, `file-search`, `feedback`,
`shell-escalation`, and `debug-client`)
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16353).
* #16351
* __->__ #16353
## Summary
- add `self_serve_business_usage_based` and `enterprise_cbp_usage_based`
to the public/internal plan enums and regenerate the app-server + Python
SDK artifacts
- map both plans through JWT login and backend rate-limit payloads, then
bucket them with the existing Team/Business entitlement behavior in
cloud requirements, usage-limit copy, tooltips, and status display
- keep the earlier display-label remap commit on this branch so the new
Team-like and Business-like plans render consistently in the UI
## Testing
- `just write-app-server-schema`
- `uv run --project sdk/python python
sdk/python/scripts/update_sdk_artifacts.py generate-types`
- `just fix -p codex-protocol -p codex-login -p codex-core -p
codex-backend-client -p codex-cloud-requirements -p codex-tui -p
codex-tui-app-server -p codex-backend-openapi-models`
- `just fmt`
- `just argument-comment-lint`
- `cargo test -p codex-protocol
usage_based_plan_types_use_expected_wire_names`
- `cargo test -p codex-login usage_based`
- `cargo test -p codex-backend-client usage_based`
- `cargo test -p codex-cloud-requirements usage_based`
- `cargo test -p codex-core usage_limit_reached_error_formats_`
- `cargo test -p codex-tui plan_type_display_name_remaps_display_labels`
- `cargo test -p codex-tui remapped`
- `cargo test -p codex-tui-app-server
plan_type_display_name_remaps_display_labels`
- `cargo test -p codex-tui-app-server remapped`
- `cargo test -p codex-tui-app-server
preserves_usage_based_plan_type_wire_name`
## Notes
- a broader multi-crate `cargo test` run still hits unrelated existing
guardian-approval config failures in
`codex-rs/core/src/config/config_tests.rs`
Added multi-limit support end-to-end by carrying limit_name in
rate-limit snapshots and handling multiple buckets instead of only
codex.
Extended /usage client parsing to consume additional_rate_limits
Updated TUI /status and in-memory state to store/render per-limit
snapshots
Extended app-server rate-limit read response: kept rate_limits and added
rate_limits_by_name.
Adjusted usage-limit error messaging for non-default codex limit buckets
This PR configures Codex CLI so it can be built with
[Bazel](https://bazel.build) in addition to Cargo. The `.bazelrc`
includes configuration so that remote builds can be done using
[BuildBuddy](https://www.buildbuddy.io).
If you are familiar with Bazel, things should work as you expect, e.g.,
run `bazel test //... --keep-going` to run all the tests in the repo,
but we have also added some new aliases in the `justfile` for
convenience:
- `just bazel-test` to run tests locally
- `just bazel-remote-test` to run tests remotely (currently, the remote
build is for x86_64 Linux regardless of your host platform). Note we are
currently seeing the following test failures in the remote build, so we
still need to figure out what is happening here:
```
failures:
suite::compact::manual_compact_twice_preserves_latest_user_messages
suite::compact_resume_fork::compact_resume_after_second_compaction_preserves_history
suite::compact_resume_fork::compact_resume_and_fork_preserve_model_history_view
```
- `just build-for-release` to build release binaries for all
platforms/architectures remotely
To setup remote execution:
- [Create a buildbuddy account](https://app.buildbuddy.io/) (OpenAI
employees should also request org access at
https://openai.buildbuddy.io/join/ with their `@openai.com` email
address.)
- [Copy your API key](https://app.buildbuddy.io/docs/setup/) to
`~/.bazelrc` (add the line `build
--remote_header=x-buildbuddy-api-key=YOUR_KEY`)
- Use `--config=remote` in your `bazel` invocations (or add `common
--config=remote` to your `~/.bazelrc`, or use the `just` commands)
## CI
In terms of CI, this PR introduces `.github/workflows/bazel.yml`, which
uses Bazel to run the tests _locally_ on Mac and Linux GitHub runners
(we are working on supporting Windows, but that is not ready yet). Note
that the failures we are seeing in `just bazel-remote-test` do not occur
on these GitHub CI jobs, so everything in `.github/workflows/bazel.yml`
is green right now.
The `bazel.yml` uses extra config in `.github/workflows/ci.bazelrc` so
that macOS CI jobs build _remotely_ on Linux hosts (using the
`docker://docker.io/mbolin491/codex-bazel` Docker image declared in the
root `BUILD.bazel`) using cross-compilation to build the macOS
artifacts. Then these artifacts are downloaded locally to GitHub's macOS
runner so the tests can be executed natively. This is the relevant
config that enables this:
```
common:macos --config=remote
common:macos --strategy=remote
common:macos --strategy=TestRunner=darwin-sandbox,local
```
Because of the remote caching benefits we get from BuildBuddy, these new
CI jobs can be extremely fast! For example, consider these two jobs that
ran all the tests on Linux x86_64:
- Bazel 1m37s
https://github.com/openai/codex/actions/runs/20861063212/job/59940545209?pr=8875
- Cargo 9m20s
https://github.com/openai/codex/actions/runs/20861063192/job/59940559592?pr=8875
For now, we will continue to run both the Bazel and Cargo jobs for PRs,
but once we add support for Windows and running Clippy, we should be
able to cutover to using Bazel exclusively for PRs, which should still
speed things up considerably. We will probably continue to run the Cargo
jobs post-merge for commits that land on `main` as a sanity check.
Release builds will also continue to be done by Cargo for now.
Earlier attempt at this PR: https://github.com/openai/codex/pull/8832
Earlier attempt to add support for Buck2, now abandoned:
https://github.com/openai/codex/pull/8504
---------
Co-authored-by: David Zbarsky <dzbarsky@gmail.com>
Co-authored-by: Michael Bolin <mbolin@openai.com>
Adds a `GET account/rateLimits/read` API to app-server. This calls the
codex backend to fetch the user's current rate limits.
This would be helpful in checking rate limits without having to send a
message.
For calling the codex backend usage API, I generated the types and
manually copied the relevant ones into `codex-backend-openapi-types`.
It'll be nice to extend our internal openapi generator to support Rust
so we don't have to run these manual steps.
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
